Nonparametric predictive comparison of lifetime data under progressive censoring

Maturi, T A; Coolen-Schrijner, P; Coolen, F P A

Abstract

In reliability and lifetime testing, comparison of two groups of data is a common problem. It is often attractive, or even necessary, to make a quick and efficient decision in order to save time and costs. This paper presents a nonparametric predictive inference (NPI) approach to compare two groups, say X and Y, when one (or both) is (are) progressively censored. NPI can easily be applied to different types of progressive censoring schemes. NPI is a statistical approach based on few assumptions, with inferences strongly based on data and with uncertainty quantified via lower and upper probabilities. These inferences consider the event that the lifetime of a future unit from Y is greater than the lifetime of a future unit from X.

Citation

Maturi, T. A., Coolen-Schrijner, P., & Coolen, F. P. A. (2010). Nonparametric predictive comparison of lifetime data under progressive censoring. Journal of Statistical Planning and Inference, 140(2), 515-525. https://doi.org/10.1016/j.jspi.2009.07.027

• Journal Article Type: Article
• Acceptance Date: Jul 28, 2009
• Online Publication Date: Aug 6, 2009
• Publication Date: 2010-02
• Deposit Date: Dec 12, 2011
• Journal: Journal of Statistical Planning and Inference
• Print ISSN: 0378-3758
• Electronic ISSN: 1873-1171
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 140
• Issue: 2
• Pages: 515-525
• DOI: https://doi.org/10.1016/j.jspi.2009.07.027
• Public URL: https://durham-repository.worktribe.com/output/1533194